get_symbol
Retrieves a single symbol by ID with full source, metadata, and relationships. The precise second step after search_symbols.
What it does
get_symbol is easiest to understand as the second step after symbol discovery.
A native agent usually cannot jump straight to “show me this exact symbol.” First it has to locate it — usually by grep or some earlier search result — then read part of a file and hope the surrounding lines contain the full definition.
get_symbol compresses that into one precise retrieval step. Given a symbol ID, it returns the symbol’s source and metadata directly.
What the benchmark proves
A fair benchmark is not “read 12 lines from a file you already know.” That ignores the cost of finding the symbol in the first place.
The meaningful comparison is the full navigation flow:
- Native flow: find candidate symbol location, then read the file region
- CodeSift flow:
search_symbols→get_symbol
When measured that way, get_symbol is significantly cheaper for real agent work, especially on large repos or on names with many candidate matches.
What the benchmark does not prove
The benchmark does not say that get_symbol always beats a raw file read in isolation. It does not need to.
If an agent already knows the exact file and exact lines, a tiny read may be cheaper. But that is not usually how the task begins.
Where it wins
- The symbol name is common across many files
- There are many similarly named candidates
- The agent needs the definition, not the whole file
- The repo is large enough that “just grep and inspect” becomes noisy
Where native still wins
- The file is already open in context
- The symbol is already known precisely
- The agent is staying inside a very small local editing context
The right framing is not “better than Read in all cases.” It is: better than rediscovering and re-reading code when the agent wants one exact symbol.
Related tools
Benchmark note
This benchmark compares CodeSift against the closest practical native workflow an agent would use for the same task.
For some tools, that baseline is a direct shell equivalent such as rg or find.
For AST-aware, graph-aware, and LSP-backed tools, the baseline is a multi-step workflow rather than a strictly identical command.
Results should be read as agent-workflow comparisons: token cost, call count, and practical context efficiency.